MSc Finance, HEC Lausanne. Building data-driven tools and research at the intersection of quantitative finance and machine learning.
Deep dives into data science, financial modeling, and predictive analytics.
Investigating how social media analytics can predict political elections using millions of tweets, Natural Language Processing, and ensemble machine learning models.
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Analyzing Brazilian weather patterns through Gradient Boosting Regression to forecast global commodity futures and map climate impact on agriculture.
Read paperI am a pragmatic, solution-oriented professional with an MSc in Finance from HEC Lausanne. My expertise lies precisely at the intersection of corporate finance and data science.
Whether analyzing vast datasets to extract actionable insights or developing automated, machine-learning driven dashboards, my aim is always to translate complex quantitative scenarios into concrete strategic value. I build tools that give decision-makers an edge.
Interested in collaborating on data-driven financial analysis or exploring the digital art of code? Feel free to reach out.
location_on Geneva, Switzerland
